Doctorant : Loïc Pérennou, Cnam/Outscale Date et lieu: 23 octobre à 14h en salle 17.2.20, 2 rue Conté, 75003 Paris. Titre: Design de l’expérience des machines virtuelles: Allocation de ressources prédictive pour les infrastructures cloud. Composition du jury : Daniel Hagimont
Recent publications
- Intent-Driven Automata for Intent Structuring and Translation in Industry 4.0
- Enhancing Security and Privacy in 5G Bubbles with Zero-Knowledge Proofs: A Comparative Analysis
- Traffic Prediction Improvement in 5G and beyond: AI and Self-Controlled Components
- Non-Terrestrial Disaggregated RAN: Prospective Architectures and Performance Insights
- Apprentissage par renforcement pour la personnalisation de l’UX dans les Écosystèmes d’Affaires Numériques
- Energy Optimization for Multi-Band Cellular Networks: A Traffic Prediction-Based Strategy
- Comparative E2E Performance Analysis of O-RAN Designs in a 5G Standalone Testbed
- E2E demonstrator definition describing all network elements and modules
- Data-driven Energy Optimization in Mobile Networks with User Experience Guarantees
- Software repository: Automation framework software
- DREAM: Dual foREcAsting Model for Network Anomaly Detection
- GNN graph structures in network anomaly detection
- Intent-Based Approaches for Industry 4.0 Applications: A Systematic Mapping Study
- Taxonomy of the Scientific Domain of Smart Life
